Mass-rearing of Mediterranean fruit fly using low-cost yeast products produced in Brazil

Ceratitis capitata is one of the most important pests of fruits for exportation, and Sterile Insect Technique (SIT) has been the most efficient and environmental friendly technique used to control fruit fly populations around the world. A key goal in achieving a successful SIT program is a mass rearing system producing high quality insects at low cost. Providing adults with an artificial diet containing hydrolysed protein has been the major obstacle for bio-production facilities in Brazil, because it is expensive and has to be imported. Two other commercial products, autolysed yeast (AY) and yeast extract (YE), of domestic origin and low cost, were tested as substitutes of the imported hydrolyzed protein. To compare their efficiency we observed the female fecundity, adult survival and egg viability of flies raised on diets containing one of each of the different protein products. Flies reared on the domestic yeast products had equivalent or superior performance to the flies reared on imported protein. Both AY and YE can be a possible substitute for imported hydrolyzed protein for C. capitata mass-rearing, as they are cheaper and are readily available in the national market

Evolutionary analysis of apolipoprotein E by Maximum Likelihood and complex network methods

Abstract Apolipoprotein E (apo E) is a human glycoprotein with 299 amino acids, and it is a major component of very low density lipoproteins (VLDL) and a group of high-density lipoproteins (HDL). Phylogenetic studies are important to clarify how various apo E proteins are related in groups of organisms and whether they evolved from a common ancestor. Here, we aimed at performing a phylogenetic study on apo E carrying organisms. We employed a classical and robust method, such as Maximum Likelihood (ML), and compared the results using a more recent approach based on complex networks. Thirty-two apo E amino acid sequences were downloaded from NCBI. A clear separation could be observed among three major groups: mammals, fish and amphibians. The results obtained from ML method, as well as from the constructed networks showed two different groups: one with mammals only (C1) and another with fish (C2), and a single node with the single sequence available for an amphibian. The accordance in results from the different methods shows that the complex networks approach is effective in phylogenetic studies. Furthermore, our results revealed the conservation of apo E among animal groups

Evolutionary analysis of apolipoprotein E by Maximum Likelihood and complex network methods

Abstract Apolipoprotein E (apo E) is a human glycoprotein with 299 amino acids, and it is a major component of very low density lipoproteins (VLDL) and a group of high-density lipoproteins (HDL). Phylogenetic studies are important to clarify how various apo E proteins are related in groups of organisms and whether they evolved from a common ancestor. Here, we aimed at performing a phylogenetic study on apo E carrying organisms. We employed a classical and robust method, such as Maximum Likelihood (ML), and compared the results using a more recent approach based on complex networks. Thirty-two apo E amino acid sequences were downloaded from NCBI. A clear separation could be observed among three major groups: mammals, fish and amphibians. The results obtained from ML method, as well as from the constructed networks showed two different groups: one with mammals only (C1) and another with fish (C2), and a single node with the single sequence available for an amphibian. The accordance in results from the different methods shows that the complex networks approach is effective in phylogenetic studies. Furthermore, our results revealed the conservation of apo E among animal groups

An integrative in-silico approach for therapeutic target identification in the human pathogen Corynebacterium diphtheriae

Corynebacterium diphtheriae (Cd) is a Gram-positive human pathogen responsible for diphtheria infection and once regarded for high mortalities worldwide. The fatality gradually decreased with improved living standards and further alleviated when many immunization programs were introduced. However, numerous drug-resistant strains emerged recently that consequently decreased the efficacy of current therapeutics and vaccines, thereby obliging the scientific community to start investigating new therapeutic targets in pathogenic microorganisms. In this study, our contributions include the prediction of modelome of 13 C. diphtheriae strains, using the MHOLline workflow. A set of 463 conserved proteins were identified by combining the results of pangenomics based core-genome and core-modelome analyses. Further, using subtractive proteomics and modelomics approaches for target identification, a set of 23 proteins was selected as essential for the bacteria. Considering human as a host, eight of these proteins (glpX, nusB, rpsH, hisE, smpB, bioB, DIP1084, and DIP0983) were considered as essential and non-host homologs, and have been subjected to virtual screening using four different compound libraries (extracted from the ZINC database, plant-derived natural compounds and Di-terpenoid Iso-steviol derivatives). The proposed ligand molecules showed favorable interactions, lowered energy values and high complementarity with the predicted targets. Our proposed approach expedites the selection of C. diphtheriae putative proteins for broad-spectrum development of novel drugs and vaccines, owing to the fact that some of these targets have already been identified and validated in other organisms.Fil: Jamal, Syed Babar. Universidade Federal de Minas Gerais; BrasilFil: Hassan, Syed Shah. Universidade Federal de Minas Gerais; Brasil. University Peshawar; PakistánFil: Tiwari, Sandeep. Universidade Federal de Minas Gerais; BrasilFil: Viana, Marcus V.. Universidade Federal de Minas Gerais; BrasilFil: De Jesus Benevides, Leandro. Universidade Federal de Minas Gerais; BrasilFil: Ullah, Asad. University Peshawar; PakistánFil: Turjanski, Adrian. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Química Biológica; ArgentinaFil: Barh, Debmalya. Institute Of Integrative Omics And Applied Biotechnology; IndiaFil: Ghosh, Preetam. Virginia Commonwealth University; Estados UnidosFil: Costa, Daniela Arruda. Universidade Federal de Minas Gerais; BrasilFil: Silva, Artur. Universidade Federal do Pará; BrasilFil: Röttger, Richard. University of Southern Denmark; DinamarcaFil: Baumbach, Jan. University of Southern Denmark; DinamarcaFil: Azevedo, Vasco A. C.. Universidade Federal de Minas Gerais; Brasi

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An integrative <i>in-silico approach</i> for therapeutic target identification in the human pathogen <i>Corynebacterium diphtheriae</i> - Fig 11

<p><b>A-I</b> 3D cartoon representation of the docking analyses for the most druggable protein cavity of <b>NP_939445.1</b> (<b>DIP1084,</b> Putative iron transport membrane protein, FecCD-family) with Jacarandic Acid (CID 73645). <b>A-II:</b> 3D surface representation of the docking analyses for the structure of Jacarandic Acid with <b>DIP1084,</b> Putative iron transport membrane protein. Figs <b>B-I, II, C-I, II</b> & <b>D-1, II D</b> represent same information for compounds 16-hydrazonisosteviol <b>ZINC13142972</b> and <b>ZINC70454922</b> respectively, for the same protein cavity.</p

Strains of <i>C</i>. <i>diphtheriae</i> employed in the pan-modelome study with information on genomes statistics, disease prevalence and location of isolation.

<p>Strains of <i>C</i>. <i>diphtheriae</i> employed in the pan-modelome study with information on genomes statistics, disease prevalence and location of isolation.</p